Exploring More Productive Ways of Working

Q3 Engineering

Journal of Information and Communication Convergence Engineering Pub Date : 2013-01-21 DOI:10.5281/ZENODO.1086140

Jenna Ruostela, Antti Lönnqvist

引用次数: 16

Abstract

New ways of working- refers to non-traditional work practices, settings and locations with information and communication technologies (ICT) to supplement or replace traditional ways of working. It questions the contemporary work practices and settings still very much used in knowledge-intensive organizations today. In this study new ways of working is seen to consist of two elements: work environment (incl. physical, virtual and social) and work practices. This study aims to gather the scattered information together and deepen the understanding on new ways of working. Moreover, the objective is to provide some evidence of the unclear productivity impacts of new ways of working using case study approach.

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探索更高效的工作方式

新的工作方式-指非传统的工作方式，设置和地点与信息和通信技术(ICT)，以补充或取代传统的工作方式。它质疑当代的工作实践和设置仍然非常使用在今天的知识密集型组织。在这项研究中，新的工作方式由两个要素组成:工作环境(包括物理的、虚拟的和社会的)和工作实践。本研究旨在收集零散的信息，加深对新的工作方式的认识。此外，目标是提供一些证据，证明使用案例研究方法的新工作方式对生产力的影响不明确。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Information and Communication Convergence Engineering Engineering-Media Technology

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： Journal of Information and Communication Convergence Engineering (J. Inf. Commun. Converg. Eng., JICCE) is an official English journal of the Korea Institute of Information and Communication Engineering (KIICE). It is an international, peer reviewed, and open access journal that is published quarterly in March, June, September, and December. Its objective is to provide rapid publications of original and significant contributions and it covers all areas related to information and communication convergence engineering including the following areas: communication system and applications, networking and services, intelligent information system, multimedia and digital convergence, semiconductors and communication devices, imaging and biomedical engineering, and computer vision and autonomous vehicles.